Update app.py

app.py

@@ -55,8 +55,7 @@ if is_colab:
       current_model.path,
       torch_dtype=torch.float16,
       scheduler=DPMSolverMultistepScheduler.from_pretrained(current_model.path, subfolder="scheduler"),
-      safety_checker=lambda images, clip_input: (images, False)
-      )
+      
 
 else:
   eulera = EulerAncestralDiscreteScheduler(beta_start=0.00085, beta_end=0.012, beta_schedule="scaled_linear", num_train_timesteps=1000)
@@ -175,8 +174,7 @@ def img_to_img(model_path, prompt, neg_prompt, img, strength, guidance, steps, w
               current_model_path,
               torch_dtype=torch.float16,
               scheduler=DPMSolverMultistepScheduler.from_pretrained(current_model.path, subfolder="scheduler"),
-              safety_checker=lambda images, clip_input: (images, False)
-              )
+            
         else:
           pipe = StableDiffusionImg2ImgPipeline.from_pretrained(
               current_model_path,